Seminar Applied Business Analytics

 
 Lecturer Prof. Dr. Philipp Baumann
 Content
  • Students form groups and implement a machine learning system for a real-world business case
  • Each group submits a written report that describes the applied algorithms and the obtained results
 Prerequisites
  • Recommended master courses: Big Data Analytics or Portfolio Optimization
  • Recommended bachelor course: Business Analytics
  • Basic Python skills from recommended courses above 
  • Free online course that covers required Python skills: http://www.coursera.org/learn/python-data-analysis
 Dates (preliminary)
  • 18.09.2023: Introduction and assignment of machine learning algorithms to groups
  • 02.10.2023: Machine learning with Python
  • 23.10.2023: Interim code review
  • 03.11.2023: Submission deadline for implementation
  • 06.11.2023: Presentation of guidelines for written report
  • 10.11.2023: Discussion of implementation with lecturer
  • 04.12.2023: Submission deadline for written report
 Registration Please register until September 12 via e-mail to philipp.baumann@unibe.ch; please include an up-to-date sheet of grades.
 Further information KSL

ILIAS

Detailed information (as of August 16, 2023)

 Evaluation results Fall semester 2023